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Data visualization meetup presentation

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Presentation by Timo Elliott at a Data Visualization meetup organized by Britehouse

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Data visualization meetup presentation

  1. 1. Timo Elliott, Innovation Evangelist, SAP Data Visualization @timoelliott
  2. 2. What Is An Evangelist? The Greek word εὐαγγέλιον (latinized to Evangelium) originally meant a reward given to the messenger for good news (εὔ = "good", ἀγγέλλω = "I bring a message“)
  3. 3. 3© 2015 SAP SE or an SAP affiliate company. All rights reserved. Proudly Selling 3D Pie Charts for 20+ Years!
  4. 4. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 4 88% How Do Executives Make Decisions? Aspect Consulting, 1997 12% Hard Facts Gut Feel 90% 10% Hard Facts Gut Feel Economist Intelligence Unit, 2014 Why the worst-practice shaded 3D donut charts? JUST TO ANNOY YOUI! 
  5. 5. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 5 Biggest Barriers to Business Intelligence 51% 48% 44% Data Quality Problems Ease of Use Integration of different systems 43% 37% 36% It is difficult to determine if information is accurate It takes a long time to find information Information is stored in ways that makes it hard to find 20152003 Sources: InformationWeek Survey 2015, BusinessWeek Survey, 2003
  6. 6. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 6 Plus Ça Change…
  7. 7. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 7 Use Analytics Today Need Analytics by 2020 Gartner, 2014 Analytics is Still Hard! Inability to see, understand, and optimize new opportunities Inaccessible data and technology Insights remain hidden Complexity, cost, confusion Silos of approaches and analytic technologies 75% 10% Slow decision making lacking future view Rear view mirror BI mentality
  8. 8. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 8 Data Visualization An example of a poor data-oink ratio?…
  9. 9. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 9 Proportion Analytics Success Depends On: Data quality, data integration, metadata management, ease of use, user training, analytic processes, information culture, etc. Not using 3D pie charts Note: data completely made up – like most powerpoint charts
  10. 10. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 10 Flashy graphics can make useful sales tools early on in the lifecycle of rolling out data visualization — but encourage best practice as soon as possible
  11. 11. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 11 cloud data mobile MORE! competition speed social connected There’s Been An Explosion of New Technology Means new opportunities…
  12. 12. 12© 2015 SAP SE or an SAP affiliate company. All rights reserved. Big Data Discovery = Big Data Data Discovery Data Science Gartner Strategic Planning Assumption: By 2017, Big Data Discovery Will Evolve Into a Distinct Market Category
  13. 13. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 13 Big Data Discovery • Volume, velocity, or variety of data • Potential business impact • Difficult to implement • Potentially expensive • Lack of skills available • Ease of use • Agility and flexibility • Time-to-results • Installed user base • Complexity of analysis • Potential impact • Range of tools • Smart algorithms • Difficult to implement • Slow and complex • Narrow focus of analysis • Limited depth of information exploration • Low complexity of analysis BIG DATA DATA SCIENCE DATA DISCOVERY
  14. 14. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 14 Big Data Discovery • Simpler to use than data science • Accessible to a wider range of users • Broad range of data manipulation features • Able to handle new types of data sources • With adequate performance for big data BIG DATA DISCOVERY
  15. 15. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 15 Potential impact per user Potential user base The Rise of the Citizen Data Scientist Business analyst Data scientist Citizen data scientist
  16. 16. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 16 The Opportunity* New Business Opportunities Traditional Analytics Data Value Volume / Variety / Velocity of Data “Big Data Discovery” Data Discovery Big Data Data Science
  17. 17. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 17 Our Opportunity Big Data Discovery SAP HANA (+ Hadoop etc.) SAP Predictive Analytics 2.0 SAP Lumira
  18. 18. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 18 Data Discovery The revenge of the full client SAP Lumira
  19. 19. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 19 We Need Self-Service Data Preparation Access Enrich Calculate & Correct Merge
  20. 20. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 20 We Need To Fluidly Explore And Interact With Data
  21. 21. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 21 We Need More Than Just Pie And Bar Charts
  22. 22. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 22 Integrated 3D Visualization
  23. 23. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 23 We Need Mobile
  24. 24. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 24 We Need To Tell Stories
  25. 25. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 25 Doctors Without Borders
  26. 26. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 26 We Need Predictive Analytics A new generation of more user-friendly predictive technology SAP Predictive Analytics
  27. 27. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 27 Vodafone Netherlands
  28. 28. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 28 We Need Support For Teams SAP Lumira Edge SAP Lumira Server
  29. 29. © 2014 SAP AG. All rights reserved. 29 We Need Cloud cloud.saplumira.com
  30. 30. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 30 30 Agile Visualizations and Lumira Cloud to identify and track potential sales for dealers Combine sales, vehicle registrations and industry failure data Over 200 dealers by the end of the year Why? Performance No infrastructure to maintain Daimler Trucks
  31. 31. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 31 DEMO
  32. 32. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 32 We Need Dashboards Let users drag and drop their self-service data visualization into corporate dashboard templates
  33. 33. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 33 We Need Analytic Applications With the ability to “take action” by writing back to operational systems
  34. 34. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 34 We Need To Support The Analytics Lifecycle
  35. 35. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 35 We Still Need Reporting and Dashboards 18% 19% 25% 35% 53% 69% Query & Analysis Data Discovery Alerts Dashboards Reports Spreadsheets Source: InformationWeek BI Survey 2015 To what extent are the following technologies used to share analytic and BI insights in your organization? Used extensively:
  36. 36. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 36 We Still Need Industrial Scale BI and Reporting Where did that number come from?! Why all these information silos?! What about security and administration?!
  37. 37. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 37 Breathing New Life Into Enterprise Query & Reporting Simplify Enhance Extend Mobile Cloud Big Data BI
  38. 38. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 38 We Need To Have Full-Cycle Analytics
  39. 39. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 39 Cloud-Based Planning
  40. 40. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 40 We Need One Platform With Many Workloads Transactions Streaming Predictive Text MiningAnalytics Spatial Mobile Analytics Collaboration IntegrationPortal Security Core Services (data ingestion, federation, etc) — Cloud AND On-Premise
  41. 41. © 2015 SAP SE or an SAP affiliate company. All rights reserved. Thank you! telliott@timoelliott.com twitter web site email Timo.Elliott@SAP.com

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